ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.03492
  4. Cited By
Decision-based Black-box Attack Against Vision Transformers via
  Patch-wise Adversarial Removal

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

7 December 2021
Yucheng Shi
Yahong Han
Yu-an Tan
Xiaohui Kuang
ArXivPDFHTML

Papers citing "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal"

14 / 14 papers shown
Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
461
0
0
20 Apr 2025
Give Me Your Attention: Dot-Product Attention Considered Harmful for
  Adversarial Patch Robustness
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
Giulio Lovisotto
Nicole Finnie
Mauricio Muñoz
Chaithanya Kumar Mummadi
J. H. Metzen
AAML
ViT
36
32
0
25 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Y. Fu
Shunyao Zhang
Shan-Hung Wu
Cheng Wan
Yingyan Lin
AAML
43
65
0
16 Mar 2022
Towards Transferable Adversarial Attacks on Vision Transformers
Towards Transferable Adversarial Attacks on Vision Transformers
Zhipeng Wei
Jingjing Chen
Micah Goldblum
Zuxuan Wu
Tom Goldstein
Yu-Gang Jiang
ViT
AAML
65
116
0
09 Sep 2021
Video Swin Transformer
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
84
1,458
0
24 Jun 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Mian
AAML
65
33
0
20 Jun 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust Learners
Sayak Paul
Pin-Yu Chen
ViT
57
310
0
17 May 2021
Understanding Robustness of Transformers for Image Classification
Understanding Robustness of Transformers for Image Classification
Srinadh Bhojanapalli
Ayan Chakrabarti
Daniel Glasner
Daliang Li
Thomas Unterthiner
Andreas Veit
ViT
72
382
0
26 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial
  Attack
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Ashkan Esmaeili
Marzieh Edraki
Nazanin Rahnavard
M. Shah
Ajmal Mian
AAML
67
2
0
19 Mar 2021
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Jianbo Chen
Michael I. Jordan
Martin J. Wainwright
AAML
56
661
0
03 Apr 2019
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial
  Attacks
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
T. Brunner
Frederik Diehl
Michael Truong-Le
Alois Knoll
MLAU
AAML
54
116
0
24 Dec 2018
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
157
5,577
0
21 Jul 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
332
14,196
0
23 Feb 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
211
14,831
1
21 Dec 2013
1